What is APQ ?
APQ (Availability Performance Quality) is the premier solution designed to enhance factory efficiency by monitoring real-time production performance. It empowers enterprises to effectively prevent unplanned downtime by automatically compiling crucial data such as production output, efficiency, yield rate, and operational status based on specific production lines, machines, shifts, and time-period settings.
Operating entirely through web browsers, APQ eliminates the need for complex client installations. Simply by opening a web page, managers and operators can instantly view the operational status and downtime statistics of the entire factory. This centralized visibility ensures that your team can quickly grasp factory conditions and take timely action to optimize manufacturing processes.
Features
Web-Based Access
Supports multiple major web browsers (including Chrome, Edge, Firefox, and Safari), allowing you to oversee the entire factory's status effortlessly.
Automated Data Compilation
Automatically aggregates real-time data based on customized settings such as production line, machine, shift, and time-period.
Graphical Dashboard Visualization
Presents complex analysis results through intuitive visual formats like bar charts and pie charts, allowing personnel to clearly grasp the situation.
Comprehensive Downtime Tracking
Fully records all equipment start-up and shutdown activities to provide real-time downtime statistics and identify root causes directly on the dashboard.
Extensive Data Integration
Natively supports real-time data sources like OPC DA and OPC UA, and can be expanded to integrate data from various brands of equipment, PLCs, and instruments.
How APQ works
APQ simplifies the complex process of performance tracking into an automated, streamlined workflow for your factory. Here is how it works :
Data Integration
The system seamlessly connects to diverse factory equipment, PLCs, and instruments via OPC DA and OPC UA protocols to collect real-time data.
Continuous Tracking
APQ automatically records equipment operation data, fully capturing all equipment start-up and shutdown activities without manual intervention.
Automated Compilation
The collected data is compiled based on your customized settings, sorting information by shifts, machines, and time periods.
Visual Analysis
The system processes the data and transforms it into visual formats like bar charts and pie charts on the dashboard.
Timely Action
Personnel simply open a web browser to analyze real-time performance, find out the reasons for equipment shutdowns, and take necessary actions.
Benefits
Prevent Unplanned Downtime
Effectively monitor real-time equipment status to identify downtime causes and prevent unexpected operational halts.
Real-Time Performance Overview
Real-Time Performance Overview: Instantly track production output, efficiency, and yield rate simply by opening a web browser.
Clear Graphical Insights
Analyze real-time production performance and downtime statistics through easy-to-understand visual dashboards.
Seamless Data Integration
Effortlessly integrate multiple data sources from various brands of equipment, PLCs, and instruments into a single, unified platform.
System Requirements
To ensure optimal performance and system stability, we recommend that your server environment meets the following specifications :
Server Specifications
| CPU | RAM | Storage | Network | Operating System | Database |
|---|---|---|---|---|---|
|
Quad-core or higher, Intel or AMD x86 processor, 2.6 GHz or faster. Recommended: 3rd Gen Intel® Xeon® Scalable (Ice Lake / Cooper Lake) or 10th Gen Intel® Core™ (Comet Lake) or later. |
16GB DDR4 or higher | 1TB SSD or larger | 1Gbps Wired Ethernet Adapter | Microsoft Windows Server 2022 Standard x64 or later | Microsoft SQL Server 2022 Standard x64 or later |
Client Requirements
| Display Resolution | Supported Browsers |
|---|---|
| 1920 x 1080 (Minimum Requirement) | Google Chrome, Microsoft Edge, Firefox, Safari. |
※ Note: Actual hardware requirements may vary depending on the data volume, system load, and the number of concurrent users.
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